Closed-loop modulation of the self-regulating brain: a review on approaches, emerging paradigms, and experimental designs.
Abstract
Closed-loop approaches, setups, and experimental designs have been applied within the field of neuroscience to enhance the understanding of basic neurophysiology principles (closed-loop neuroscience; CLNS) and to develop improved procedures for modulating brain circuits and networks for clinical purposes (closed-loop neuromodulation; CLNM). The contents of this review are thus arranged into the following sections. First, we describe basic research findings that have been made using CLNS. Next, we provide an overview of the application, rationale, and therapeutic aspects of CLNM for clinical purposes. Finally, we summarize methodological concerns and critics in clinical practice of neurofeedback and novel applications of closed-loop perspective and techniques to improve and optimize its experiments. Moreover, we outline the theoretical explanations and experimental ideas to test animal models of neurofeedback and discuss technical issues and challenges associated with implementing closed-loop systems. We hope this review is helpful for both basic neuroscientists and clinical/ translationally-oriented scientists interested in applying closed-loop methods to improve mental health and well-being.
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Closed-loop circuits exist in just about every part of the nervous system.
“In this framework, we should consider that closed-loop circuits exist in just about every part of the nervous system (Farkhondeh Tale Navi et al., 2022; Khodagholy et al., 2022).”
From Toward a personalized closed-loop stimulation of the visual cortex: Advances and challenges (2022) · cites this paper as Farkhondeh Tale Navi et al., 2022
Closed-loop procedures allow an improved control of some neurological conditions such as epilepsy, and can also be used for better control of obsessive-compulsive disorders and depression.
“This procedures allow an improved control of some neurological conditions such as epilepsy (Ranjandish and Schmid, 2020; Farkhondeh Tale Navi et al., 2022), and can also be used for better control of obsessive-compulsive disorders and depression (Figee et al., 2022; Visser-Vandewalle et al., 2022).”
From Toward a personalized closed-loop stimulation of the visual cortex: Advances and challenges (2022) · cites this paper as Farkhondeh Tale Navi et al., 2022
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References 237 · Cited by 19
- Authors
- Farkhondeh Tale Navi, F., Heysieattalab, S., Ramanathan, D. S., Raoufy, M. R., & Nazari, M. A.
- Affiliations
- University of Tabriz (IR)
- University of California San Diego (US)
- Tarbiat Modares University (IR)
- Iran University of Medical Sciences (IR)
- Corresponding author
- Ramanathan, Dhakshin S.
- Nazari, Mohammad Ali
- Venue
- Neuroscience
- Publisher
- Elsevier BV
- Published
- 2022-02
- Volume
- 483
- Pages
- 104-126
- ISSN
- 0306-4522 (ISSN-L)
- OpenAlex
- W4200298283
- Cited by
- 19
- References
- 237
- Citations by year
- 2026: 2 · 2025: 5 · 2024: 5 · 2023: 6 · 2022: 1
- FWCI
- 0.44
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Neurology › Transcranial Magnetic Stimulation Studies
- Keywords
- closed-loop neuromodulation, neurofeedback, brain self-regulation, experimental design, mental health
- MeSH terms
- Animals, Brain, Research Design, Neurofeedback
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